# CVE-2026-47473: NVIDIA TensorRT-LLM write-what-where condition

Source: https://junglewise.ai/threats/cve-2026-47473-nvidia-tensorrt-llm-write-what-where-condition  
Publisher: Junglewise Threat Intelligence, https://junglewise.ai/threats  
Published: 2026-07-14. Updated: 2026-07-14  
License: CC BY 4.0 with a link back

CVE-2026-47473 · Severity: high · CVSS 7.4 · Published 2026-07-14

NVIDIA TensorRT-LLM, a library used to optimize the performance of large language models, contains a security vulnerability. An attacker with local access to the system could potentially modify sensitive data, cause the software to crash, or gain unauthorized access to information. This could disrupt AI-driven services or lead to the corruption of critical business data processed by the model.

Technologies: [Nvidia TensorRT-LLM](https://junglewise.ai/threats/technologies/tensorrt-llm). Vendors: [Nvidia](https://junglewise.ai/threats/vendors/nvidia).

## Quick answers

**Is CVE-2026-47473 exploited in the wild?** No. Junglewise Threat Intelligence has no report of CVE-2026-47473 being exploited in the wild.

**How severe is CVE-2026-47473?** High severity, with a CVSS score of 7.4, published 14 July 2026.

**Which products and versions are affected?** Nvidia TensorRT-LLM v1.3.0 rc16 and earlier.

**Is there a fix for CVE-2026-47473?** No fixed version is recorded yet. Check the vendor's advisory in the references below. If you run it, Junglewise drafts a mitigation that fits your setup and applies it once you approve, with senior security engineers behind it.

**How is CVE-2026-47473 attacked?** It is attacked with local access, in a software library.

**Am I affected by CVE-2026-47473?** Check whether you run Nvidia TensorRT-LLM at an affected version. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

## Technical details

NVIDIA TensorRT-LLM is affected by a write-what-where condition (CWE-123). The vulnerability allows a local attacker to write arbitrary data to an arbitrary memory location. While the attack complexity is rated as high, a successful exploit could lead to a complete compromise of confidentiality, integrity, and availability (C/I/A). The issue is present in versions up to and including v1.3.0 rc16. Security engineers should monitor for updates from NVIDIA to remediate this memory corruption flaw.

## Affected products

- NVIDIA TensorRT-LLM v1.3.0 rc16 and earlier

## Timeline

- 2026-07-14: disclosed: Initial publication of CVE-2026-47473 by NVIDIA.

## References

- [https://www.cve.org/CVERecord?id=CVE-2026-47473](https://www.cve.org/CVERecord?id=CVE-2026-47473)

## Related threats

- [NVIDIA TensorRT-LLM server-side request forgery](https://junglewise.ai/threats/cve-2026-65120-nvidia-tensorrt-llm-contains-a-vulnerability-where-an-attacker)
- [NVIDIA TensorRT-LLM untrusted tokenizer loading in KvCacheAwareRouter](https://junglewise.ai/threats/cve-2026-65119-nvidia-tensorrt-llm-for-any-platform-contains-a-vulnerability-in)
- [NVIDIA TensorRT-LLM server-side request forgery](https://junglewise.ai/threats/cve-2026-24269-nvidia-tensorrt-llm-contains-a-vulnerability-where-an-attacker)
- [NVIDIA TensorRT-LLM denial of service in OpenAI-compatible API](https://junglewise.ai/threats/cve-2026-47475-nvidia-tensorrt-llm-denial-of-service-in-openai-compatible-api)
- [NVIDIA TensorRT-LLM deserialization in IPC layer](https://junglewise.ai/threats/cve-2026-47472-nvidia-tensorrt-llm-deserialization-in-ipc-layer)